Senior Multiomics Data Scientist — Remote

GONDOLABIO SERVICECO INC; Palo Alto (CA); Hybrid; USD 155,000 - 205,000; Full time

Benefits offered by this job

Equity

Health insurance

Flexible PTO

Performance bonus

Job summary

GondolaBio ServiceCo Inc. in the United States is seeking a Senior Biological Data Scientist to design and execute integrative multiomics analyses supporting target discovery and biomarker development.

You will collaborate with cross-functional teams to translate computational insights into actionable biology and medicines. The role emphasizes Python-based data analysis, rapid learning of new disease areas, and clear scientific communication in a fast-paced, remote environment with periodic

Qualifications

• PhD in Computational Biology, Bioinformatics, Genetics, or related field with 5+ years of applicable experience.
• Experience integrating transcriptomic, proteomic, genetic, and related data to answer questions.
• Experience supporting biomarker discovery, translational research, or target identification.

Responsibilities

• Design, execute, and interpret integrative analyses across multiomics to support targets and biomarkers.
• Integrate public and internal datasets to prioritize hypotheses across disease programs.
• Collaborate with cross-functional scientists to translate analyses into actionable insights.
• Communicate results clearly through presentations, reports, and publications.

Skills

Python for scientific computing

Excellent communication

Independent contributor

Learning new disease areas quickly

Data integration across multiomics

Education

PhD in Computational Biology, Bioinformatics, Genetics, or related

Tools

Python

R

Bioinformatics pipelines

Job description

GondolaBio ServiceCo Inc. in the United States is seeking a Senior Biological Data Scientist to design and execute integrative multiomics analyses supporting target discovery and biomarker development.

You will collaborate with cross-functional teams to translate computational insights into actionable biology and medicines. The role emphasizes Python-based data analysis, rapid learning of new disease areas, and clear scientific communication in a fast-paced, remote environment with periodic